An introductory textbook on econometrics which contains careful use of linear algebra and consistent notation to avoid confusing the student. Both sampling theory and Bayesian methods of inference are added to interweave economic theory, inferential statistics and practice.
Learning and Practicing Econometrics Summary
Learning and Practicing Econometrics by William Griffiths
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Table of Contents
Partial table of contents:; THE FOUNDATIONS OF ESTIMATION AND INFERENCE; Some Basic Ideas: Statistical Concepts for Economists; Statistical Inference 1: Estimating the Mean and Variance of a Population; THE SIMPLE LINEAR STATISTICAL MODEL; Simple Regression: Economic and Statistical Model Specification and Estimation; GENERAL LINEAR STATISTICAL MODEL; Inference in the General Linear Statistical Model; ECONOMETRIC TOPICS 1; Dummy Variables and Varying Coefficient Models; Collinear Economic Variables; LINEAR STATISTICAL MODELS WITH A GENERAL ERROR COVARIANCE MATRIX; Heteroskedastic Errors; SPECIFYING AND ESTIMATING ECONOMIC AND STATISTICAL MODELS WITH FEEDBACK MECHANISMS; Estimation and Inference for the Simultaneous Equations Model; TIME-SERIES AND DYNAMIC ECONOMIC MODELS; Bivariate and Multivariate Time-Series Models; ECONOMETRIC TOPICS 2; Nonlinear Least Squares; BAYESIAN ESTIMATION AND INFERENCE; The Bayesian Approach to Estimation and Inference: Some Basic Definitions, Concepts, and Applications; ECONOMIC DATA SOURCES AND THE WRITING TASK; Economic Data Sources, Guidelines for Choosing a Research Project, and the Writing of a Research Report; Statistical Tables; Index.
Additional information
GOR003146862
9780471599517
0471599514
Learning and Practicing Econometrics by William Griffiths
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